Deploying ML Models on AWS SageMaker: From Notebook to Endpoint
Running a model in a Jupyter notebook proves nothing. Here's how to deploy a real SageMaker endpoint with autoscaling — using boto3 and the SageMaker SDK.
June 14, 2026
Practical AI/ML content. Mentor-curated. No fluff.
Running a model in a Jupyter notebook proves nothing. Here's how to deploy a real SageMaker endpoint with autoscaling — using boto3 and the SageMaker SDK.
June 14, 2026
Most teams jump to fine-tuning too early. Here are the 3 questions to ask first, when prompting wins, and a Python benchmark to measure the difference yourself.
June 10, 2026
Retrieval-Augmented Generation is everywhere. But most tutorials skip the tradeoffs. Here's what actually matters when you're building production RAG.
June 8, 2026
ML teams consistently over-permission their AWS roles. Here's how execution roles actually work, what permissions SageMaker jobs actually need, and a Terraform module to create it right.
June 5, 2026
Certificates don't get you hired. Deployed projects do. Here's the difference between passive and active learning in AI.
June 1, 2026